MIT 6.868J The Society of Mind, Spring 2007 – Marvin Minsky
Tag: compsci
MIT 6.042J Mathematics for Computer Science, Fall 2010
MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503)
MIT 6.001 Structure and Interpretation, 1986
MIT 6.033 Computer System Engineering, Spring 2005
MIT 6.033 Computer System Engineering, Spring 2005. Course lectures on YouTube.
A Gentle Introduction to Algorithm Complexity Analysis
A Gentle Introduction to Algorithm Complexity Analysis.
Theoretical computer science has its uses and applications and can turn out to be quite practical. In this article, targeted at programmers who know their art but who don’t have any theoretical computer science background, I will present one of the most pragmatic tools of computer science: Big O notation and algorithm complexity analysis. As someone who has worked both in a computer science academic setting and in building production-level software in the industry, this is the tool I have found to be one of the truly useful ones in practice, so I hope after reading this article you can apply it in your own code to make it better. After reading this post, you should be able to understand all the common terms computer scientists use such as "big O", "asymptotic behavior" and "worst-case analysis".